Data Engineer

About

At Husky Technologies™, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.

Husky Technologies™ has a strong foundation built on innovation, close customer relationships and a unique culture and values. We are dedicated to offering our customers the highest quality products and services and are looking for people with the inspiration and talent to develop with us as we pursue our ambitious growth strategy. We are a leader in developing state‑of‑the‑art technology and it is this technology base that uniquely positions us to serve customers who seek differentiation through solutions that provide speed, flexibility and maximum productivity. This capability is at the core of our mission and competitive strategy.

Husky Technologies™ offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies™ offers an opportunity to work with – and be challenged by – a team of great people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a company taking on new challenges and for the right people this means exceptional career development opportunities, the chance to be part of a team that is the best in the world at what we do and the experience that comes from working in an environment that demands constant transformation and innovation.

Husky Technologies™ is an exciting company with tremendous potential. We have a great team and great expectations. If you are attracted to bold goals, believe in uncompromising honesty, support mutual respect, care about environmental responsibility, have a passion for excellence and a desire to make a positive contribution – then we want you to join the Husky Technologies™ team!

Responsibilities

• Execute end‑to‑end Enterprise Business Intelligence and Data Engineering initiatives, including requirement analysis, BI specification development, data modeling, solution design, deployment, and post‑production support.
• Serve as a technical consultant and facilitator between cross‑functional teams, ensuring effective communication and alignment among business units, project teams, and technical stakeholders.
• Perform root‑cause analysis and drive timely resolution of production issues, ensuring minimal disruption to BI processes and data platforms.
• Support both pre‑production and production data infrastructure environments, ensuring stability, performance, and adherence to operational standards.
• Participate in planning, preparation, and execution of periodic software releases, ensuring smooth deployment of enhancements, patches, and new features.
• Collaborate closely with project teams, business stakeholders, and leadership, translating business needs into scalable and maintainable data solutions.
• Coordinate with internal and external partners, such as vendors, integration teams, and cloud service providers, to ensure seamless project delivery and system operations.
• Conduct detailed requirements analysis and documentation, ensuring clarity, completeness, and alignment with enterprise architecture guidelines.
• Execute assigned project tasks and deliverables, contributing to successful completion of work packages within scope, timeline, and quality expectations.
• Perform advanced data analysis, data profiling, and validation to support data modeling, quality assessments, and integration design.
• Support the program manager in planning, coordination, and delivery of the overall Enterprise Business Intelligence program, ensuring alignment with strategic objectives.
• Ensure adherence to enterprise quality standards, including coding best practices, documentation, testing, and data governance policies.
• Contribute to Master Data Management (MDM) initiatives, supporting data quality, standardization, and stewardship processes across the organization.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related technical discipline.
• 5–10 years of experience working in data engineering, business intelligence, or analytics‑focused roles within complex enterprise environments.
• Proven experience delivering and supporting Business Intelligence, Data Warehouse, and Data Integration solutions at scale.
• Experience working in global or multinational environments is an asset.
• Understanding of manufacturing and sales business processes is considered beneficial.

Technical Skills

• Strong hands‑on experience with ETL/ELT development involving medium to high complexity integration pipelines, ensuring high availability, data quality, and reliability in production environments.
• Proficient with a broad range of Microsoft data and analytics technologies, including:
  • Databases & Platforms: SQL Server 2019/2022
  • Data Integration: SSIS, Azure Data Factory (ADF)
  • Analytics & Modeling: SSAS, Power BI
  • Cloud: Azure Synapse, Azure Data Lake, and related Azure data engineering services
  • Programming & Scripting: T‑SQL, PowerShell, VBA, VBScript
• Familiarity with Data Warehouse Automation tools such as dbt (Data Build Tool) is a strong advantage.
• Familiarity with Data Replication tools such as FiveTran is an advantage.
• Strong understanding of server operational environments, particularly Windows Server 2019/2022.
• Experience implementing and supporting DevOps practices, including CI/CD pipelines, automated deployments, and version control.

Analytical & Problem‑Solving Capabilities

• Demonstrated expertise in data analysis, data profiling, and root‑cause investigation across complex datasets and pipelines.
• Strong analytical and troubleshooting abilities with the capacity to diagnose application, data quality, and system performance issues.
• Ability to monitor, evaluate, and interpret ETL results, collaborating closely with operations and delivery teams to drive improvements in data quality and platform stability.

Soft Skills & Collaboration

• Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for non‑technical audiences.
• Strong facilitation skills, capable of moderating meetings, workshops, and design sessions to support effective decision‑making.
• Ability to work collaboratively with cross‑functional teams, internal partners, and external vendors.

Language Requirements

• Fluency in English is required.
• German and French language skills are considered an asset.

Benefits

• Competitive compensation and benefits package.
• Excellent opportunities for growth and advancement.
• Commitment to equal employment opportunity and a diverse, inclusive workplace.
• Emphasis on safety and a great place to work.
• All offers of employment are conditioned on satisfactory completion of background checks.